The POI characterization through Big Data has become more frequent as it allows the implementation of strategies and solutions within the business sectors.
The variety of solutions based on location intelligence and zone characterization rely on efficient POI analysis, which benefits any type of business.
Location intelligence and POI characterization through Big Data are increasingly being used to make business decisions in the retail, real estate, logistics, and port sectors, among others.
Location intelligence is revolutionizing the way companies establish, operate and expand their business.
From deciding where to locate a new store to analyzing foot traffic to gauge market competition, the use of location data is growing.
One of the key components of location intelligence is data related to points of interest (POIs). POIs indicate a specific location in an area of interest to businesses: it can be a store, a hospital, a university, or a corporate building, among others, depending on the information required for the particular target, helping companies make faster, more informed and cost-effective decisions.
Location intelligence and mobility analytics allow companies to create Out-of-Home advertising strategies focused 100% on the tastes and preferences of the people who pass through each point.
In outdoor advertising (OOH), knowing in depth the consumers who pass through the point where the advertising will be exposed is crucial to maximizing as much as possible the return on investment.
In order to identify the optimal place to establish a new business, for example, an educational center, it's vital to resort to geolocation analytics and mobility analysis.
Through location intelligence solutions, it's possible to determine one or more areas where you want to establish an educational center, while mobility analysis and behavioral patterns can identify the factors that can maximize its success.
This analysis enables real estate companies to make data-driven decisions on issues that define the success of a real estate business, from acquisitions, leasing, investments to marketing campaigns and operational processes.
Location analytics provides an unprecedented vision of the real estate market, analyzing real-time mobility data such as foot traffic, makes it possible to know the updated prices of economic areas and properties of interest, the development of construction processes, to optimize the real estate agents work routes, identify risk areas, etc.
Foot traffic data consists of spatial data (GIS), and is at the core of building intelligent strategies, transportation routes, processes and decision making in both public and private sectors.
What is it?
Foot traffic data associates people's movements with physical locations, and can be collected in different ways, such as WiFi signals, GPS from mobile devices and sensors, providing useful information for sectors like retail, real estate, agriculture, financial services, insurance, tourism, sports, entertainment, among others.
A competitive analysis begins by defining the target and its scope, exploiting different sets of structured and unstructured data available thanks to innovative tools that help to identify and measure competing brands and estimate their sales.
With Big Data tools that help analyze large volumes of information like predictive models,location intelligence and mobility data, it's possible to generate a competitive analysis, which consists of identifying the main competing companies and estimating their turnover, quantifying their potential sales, identifying gaps in the market, predicting the cost of developing new products, discovering trends, among others.
Predictive analytics has transformed the real estate industry due to its powerful ability to deliver fast and accurate actionable insights. This has largely come about through the advent of Big Data and Geographic Information Systems (GIS) that harness the intrinsic power of real estate data.
Predictive analytics tools take this analysis to the next level to predict future outcomes based on how past and present events occurred. Consumer demographics, housing trends and property price history are some of the areas where predictive analytics represent a huge opportunity for the industry.
Through techniques for managing large volumes of information, it is possible to carry out land studies, analyze the evolution of urban development in an area, and even optimize real estate marketing strategies, among other multiple uses.
By combining land data and maps, there are different types of analysis that help professionals and their clients to better understand the market and the factors that affect it, improve real estate predictions, find a desired location and observe the changes that occur there over time, and so on.
The developer 3 Torres plans to build a residential tower of 10 levels that will house 40 apartments, the building will be located in the municipality of Santa Tecla, El Salvador.
Representatives of the business group that will invest in this housing complex informed that the new residential project is called Trib Apartamentos, and will be located at 14 avenida norte, Finca San Rafael, in the city of Santa Tecla, department of La Libertad.
Between the first quarter of 2020 and the same period of 2021, the total leasable area in Panama City increased by 4.79%.
Commercial real estate consulting firm Newmark Central America reported that the industrial and logistics real estate market inventory in the Panamanian capital totaled 1,420,480 square meters (m2) of total leasable area, a figure that exceeds the estimate of a year ago.
From September 9 to 10, the VI Latin American Real Estate Congress CILA 2021 will be held in Ciudad Cayala, in zone 16 of the country's capital city, an event that will analyze opportunities to buy properties in the region and the reality of real estate sales in the post-pandemic era.
The Congress, which will be held under the theme "A new beginning in the real estate world", will offer conversations and panel discussions between Latin American countries, corporate stands for sponsors and virtual networking rooms.
The Íntegro business group announced that it will build a mixed-use real estate complex in Zone 11 of the country's capital, which will house 675 apartments and will also have commercial spaces.
The project is called Villa Mariscal and will consist of four totally autonomous towers.
Through solutions based on the analysis of satellite photos and machine learning models, it is possible to optimize the process of identifying the best land uses and analyze the areas where a construction project will be developed with a high level of detail, in order to find the optimal location and minimize investment risks.
The accelerated growth in the availability of data and the solutions and technologies being developed to take advantage of it is directly impacting all industries, and the real estate and construction industry is no exception.
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